Bibliographic record
Abstract
This chapter considers the federal government’s fettering of jurisdiction through inaction in the areas of clean water and housing. We consider a small sample of First Nations’ responses, taken on the basis of their assertions of jurisdiction and responses to the particular needs and circumstances of their communities. We conclude that First Nations are best positioned to make policy and law in response to COVID-19, and that the federal government can and must work with First Nations communities on resourcing their plans for wellness and emergency preparedness in relation to the pandemic, in accordance with a sui generis application of the constitutional principle of subsidiarity in conjunction with other constitutional obligations such as the fiduciary duty of the Crown and its duty to act honourably. This chapter is contextualized by the theme of self-determination in Indigenous health, s. 35 of the Constitution Act, and the United Nations Declaration on the Rights of Indigenous Peoples.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.009 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".